PS-1B: Poster Session 1B |
| Session Type: Poster |
| Time: Saturday, September 14, 16:30 - 19:30 |
| Location: H Fläche 1.OG |
| PS-1B.1: Generalized Unrestricted Models (GUMs), a flexible and interpretable tool for behavioral and neural analysis |
| Alexandre Hyafil; Centre de Recerca Matemàtica |
| Vincent Adam; Prowler.io |
| PS-1B.2: Episodic memory retrieval is supported by rapid replay of episode content |
| G. Elliott Wimmer; University College London |
| Yunzhe Liu; University College London |
| Neža Vehar; University College London |
| Tim Behrens; University of Oxford |
| Raymond J Dolan; University College London |
| PS-1B.3: Attention biases neural representations of hierarchical visual features |
| Tomoyasu Horikawa; ATR |
| Yukiyasu Kamitani; Kyoto University |
| PS-1B.4: Disentangling neural mechanisms for perceptual grouping |
| Junkyung Kim; Brown University |
| Drew Linsley; Brown University |
| Kalpit Thakkar; Brown University |
| Thomas Serre; Brown University |
| PS-1B.5: DeepGaze III: Using Deep Learning to Probe Interactions Between Scene Content and Scanpath History in Fixation Selection |
| Matthias Kümmerer; University of Tübingen |
| Thomas S.A. Wallis; University of Tübingen |
| Matthias Bethge; University of Tübingen and Bernstein Center for Computational Neuroscience Tübingen |
| PS-1B.6: A deep generative model explaining tuning properties of monkey face processing patches |
| Haruo Hosoya; ATR International |
| PS-1B.7: Generalization of placebo pain relief |
| Lea Kampermann; University Medical Center Hamburg-Eppendorf |
| Christian Büchel; University Medical Center Hamburg-Eppendorf |
| PS-1B.8: From episodic to semantic memory: A computational model |
| Denis Alevi; Technical University Berlin |
| Richard Kempter; Humboldt University of Berlin |
| Henning Sprekeler; Technical University Berlin |
| PS-1B.9: Temporal Segmentation for Faster and Better Learning |
| Brad Wyble; Pennsylvania State University |
| Howard Bowman; University of Birmingham |
| PS-1B.10: Orientation representations in convolutional neural networks are more discriminable around the cardinal axes |
| Margaret Henderson; University of California, San Diego |
| John Serences; University of California, San Diego |
| PS-1B.11: The relational structure of a reinforcement learning task is represented and generalised in the entorhinal cortex |
| Alon Baram; University of Oxford |
| Timothy Muller; University of Oxford |
| Hamed Nili; University of Oxford |
| Mona Garvert; Max-Planck-Institute for Human Cognitive and Brain Sciences |
| Tim Behrens; University of Oxford |
| PS-1B.12: Mechanisms of the non-linear interactions between the neuronal and neurotransmitter systems explained by causal whole-brain modeling |
| Josephine Cruzat; Universitat Pompeu Fabra |
| Joana Cabral; University of Minho |
| Gitte Moos Knudsen; Copenhagen University |
| Robin Carhart-Harris; Imperial College London |
| Peter C. Whybrow; University of California, Los Angeles |
| Nikos K. Logothetis; Max Planck Institute for Biological Cybernetics |
| Morten L. Kringelbach; University of Oxford |
| Gustavo Deco; Universitat Pompeu Fabra |
| PS-1B.13: Reading times and temporo-parietal BOLD activity encode the semantic hierarchy of language prediction |
| Lea-Maria Schmitt; University of Lübeck |
| Julia Erb; University of Lübeck |
| Sarah Tune; University of Lübeck |
| Anna Rysop; Max Planck Institute for Human Cognitive and Brain Sciences |
| Gesa Hartwigsen; Max Planck Institute for Human Cognitive and Brain Sciences |
| Jonas Obleser; University of Lübeck |
| PS-1B.14: Synaptic plasticity with correlated feedback: knowing how much to learn. |
| Alexander Antrobus; University College London |
| Peter Latham; University College London |
| PS-1B.15: Comparing facets of behavioral object representation: implicit perceptual similarity matches brains and models |
| Caterina Magri; Harvard University |
| Talia Konkle; Harvard University |
| PS-1B.16: Do Deep Neural Networks Model Nonlinear Compositionality in the Neural Representation of Human-Object Interactions? |
| Aditi Jha; Indian Institute of Technology Delhi |
| Sumeet Agarwal; Indian Institute of Technology Delhi |
| PS-1B.17: Which Neural Network Architecture matches Human Behavior in Artificial Grammar Learning? |
| Andrea Alamia; CerCo - CNRS |
| Victor Gauducheau; CerCo - CNRS |
| Dimitri Paisios; CerCo - CNRS |
| Rufin VanRullen; CerCo - CNRS |
| PS-1B.18: Using deep neural network features to predict voxelwise activity in ultra-high field fMRI |
| Rebekka Heinen; Ruhr University Bochum |
| Lorena Deuker; Ruhr University Bochum |
| Thomas Naselaris; Medical University of South Carolina |
| Nikolai Axmacher; Ruhr University Bochum |
| PS-1B.19: Preserved metamemory and subjective costs of searching in Schizophrenia |
| Thea Simensen; NTNU |
| Wenche ten Velden Hegelstad; SUS |
| Lina Livsdatter; UiT The Arctic University of Norway |
| Gerit Pfuhl; UiT The Arctic University of Norway |
| PS-1B.20: Neural Network Mechanisms Underlying Confirmation Bias in Stimulus Estimation |
| Jose M. Esnaola-Acebes; Centre de Recerca Matemàtica |
| Bharath C. Talluri; University Medical Center Hamburg- Eppendorf |
| Tobias Donner; University Medical Center Hamburg- Eppendorf |
| Alex Roxin; Centre de Recerca Matemàtica |
| Klaus Wimmer; Centre de Recerca Matemàtica |
| PS-1B.21: Artificial haptic recognition through human manipulation of objects |
| David Miralles; La Salle - Univesitat Ramon Llull |
| Carlota Parés; La Salle - Univesitat Ramon Llull |
| Guillem Garrofé; La Salle - Univesitat Ramon Llull |
| Alberto Soto; La Salle - Univesitat Ramon Llull |
| Albert Llauradó; La Salle - Univesitat Ramon Llull |
| Gerard Serra; La Salle - Univesitat Ramon Llull |
| Àlex Falcó; La Salle - Univesitat Ramon Llull |
| Hans Op de Beeck; KU Leuven |
| Haemy Lee Masson; KU Leuven |
| PS-1B.22: Dynamic Gaze Effects on Cost-Benefit Decisions: from Value Modulation to Additive Influences |
| Andrew Westbrook; Brown University |
| Lieke Hofmans; Donders Institute for Brain, Cognition and Behaviour |
| Jessica Määttä; Donders Institute for Brain, Cognition and Behaviour |
| Danae Papadopetraki; Donders Institute for Brain, Cognition and Behaviour |
| Ruben van den Bosch; Donders Institute for Brain, Cognition and Behaviour |
| Roshan Cools; Donders Institute for Brain, Cognition and Behaviour |
| Michael Frank; Brown University |
| PS-1B.23: Analyzing disentanglement of visual objects in semi-supervised neural networks |
| Andrew David Zaharia; Columbia University |
| Benjamin Peters; Columbia University |
| John Cunningham; Columbia University |
| Nikolaus Kriegeskorte; Columbia University |
| PS-1B.24: Learning what is relevant for rewards via serial hypothesis testing |
| Mingyu Song; Princeton University |
| Ming Bo Cai; Princeton University |
| Yael Niv; Princeton University |
| PS-1B.26: A Model for Perception and Memory |
| Volker Tresp; Ludwig Maximilian University of Munich |
| Sahand Sharifzadeh; Ludwig Maximilian University of Munich |
| Dario Konopatzki; Ludwig Maximilian University of Munich |
| PS-1B.27: Investigating the Presence of 'Leaky' Accumulation in a Human Evidence Integration Signal |
| Jessica Dully; Trinity College Dublin |
| David McGovern; Dublin City University |
| Simon Kelly; University College Dublin |
| Redmond O'Connell; Trinity College Dublin |
| PS-1B.28: Between the single- and dual-process models of recognition memory: an alternative view |
| Olya Hakobyan; Ruhr University Bochum |
| Sen Cheng; Ruhr University Bochum |
| PS-1B.29: Oscillatory Patterns in Behavioral Responses during a Memory Task |
| Marije ter Wal; University of Birmingham |
| Juan Linde Domingo; University of Birmingham |
| Julia Lifanov; University of Birmingham |
| Frederic Roux; University of Birmingham |
| Luca Kolibius; University of Birmingham |
| David Rollings; Queen Elizabeth Hospital |
| Vijay Sawlani; Queen Elizabeth Hospital |
| Ramesh Chelvarajah; Queen Elizabeth Hospital |
| Bernhard Staresina; University of Birmingham |
| Simon Hanslmayr; University of Birmingham |
| Maria Wimber; University of Birmingham |
| PS-1B.30: Human uncertainty improves object classification |
| Joshua Peterson; Princeton University |
| Ruairidh Battleday; Princeton University |
| Thomas Griffiths; Princeton University |
| PS-1B.31: Understanding the timing of cognitive processes with a variable rate neural code |
| S. Thomas Christie; University of Minnesota |
| Paul Schrater; University of Minnesota |
| PS-1B.32: Unfolding of multisensory inference in the brain and behavior |
| Yinan Cao; University of Oxford |
| Hame Park; University of Bielefeld |
| Bruno L. Giordano; Centre National de la Recherche Scientifique and Aix-Marseille Université |
| Christoph Kayser; University of Bielefeld |
| Charles Spence; University of Oxford |
| Christopher Summerfield; University of Oxford |
| PS-1B.33: Fast Brain MRI Segmentation Using a Volumetric Deep Learning Approach |
| Dennis Bontempi; University of Brescia |
| Sergio Benini; University of Brescia |
| Alberto Signoroni; University of Brescia |
| Lars Muckli; University of Glasgow |
| Michele Svanera; University of Glasgow |
| PS-1B.34: Locus Coeruleus Engagement Drives Network Connectivity Dynamics In Humans And Rats |
| Sana Hussain; University of California, Riverside |
| Mahsa Alizadeh Shalchy; University of California, Riverside |
| Kimia C. Yaghoubi; University of California, Riverside |
| Jason Langley; University of California, Riverside |
| Xu Chen; University of California, Riverside |
| Ilana J. Bennett; University of California, Riverside |
| Ringo Huang; University of Southern California |
| David Clewett; University of Southern California |
| Shawn E. Nielsen; University of Southern California |
| Rico Velasco; University of Southern California |
| Briana Kennedy; University of Southern California |
| Sophia Han; University of Southern California |
| Kristie Tu; University of Southern California |
| Aaron R. Seitz; University of California, Riverside |
| Nanyin Zhang; University of Pennsylvania |
| Mara Mather; University of Southern California |
| Xiaoping Hu; University of California, Riverside |
| Megan A. K. Peters; University of California, Riverside |
| PS-1B.35: Rate distortion trade-off in human memory |
| David G. Nagy; MTA Wigner RCP |
| Balazs Torok; MTA Wigner RCP |
| Gergo Orban; MTA Wigner RCP |
| PS-1B.36: Cognitive Effort Modulates Frontal Effective Connections |
| Katharina Wegner; Ghent University |
| Charlie Wilson; Inserm U1028 |
| Emannuel Procyk; Inserm U1028 |
| Karl Friston; UCL Wellcome Centre for Human Neuroimaging |
| Daniele Marinazzo; Ghent University |
| PS-1B.37: A particle filtering account of selective attention during learning |
| Angela Radulescu; Princeton University |
| Yael Niv; Princeton University |
| Nathaniel Daw; Princeton University |
| PS-1B.38: Functional connectivity of fractal and oscillatory cortical activity is distinct |
| Andrea Ibarra Chaoul; Hertie-Institute for Clinical Brain Research, Centre for Integrative Neuroscience & MEG Center |
| Markus Siegel; Hertie-Institute for Clinical Brain Research, Centre for Integrative Neuroscience & MEG Center |
| PS-1B.39: Sensorimotor strategies and neuronal representations of whisker-based object recognition in mouse barrel cortex |
| Ramon Nogueira; Columbia University |
| Chris C. Rodgers; Columbia University |
| Stefano Fusi; Columbia University |
| Randy M. Bruno; Columbia University |
| PS-1B.40: Microsaccade Patterns Evolve During Learning of a Covert Spatial Attention Task |
| Marie Bellet; University of Tuebingen |
| Lenka Seillier; University of Tuebingen |
| Katrina Quinn; University of Tuebingen |
| Katsuhisa Kawaguchi; University of Tuebingen |
| Joachim Bellet; University of Tuebingen |
| Ziad Hafed; University of Tuebingen |
| Hendrikje Nienborg; University of Tuebingen |
| PS-1B.41: Distractor Suppression Uniquely Contributes to the Lateralized Alpha Response in Spatial Attention |
| Malte Wöstmann; University of Luebeck |
| Mohsen Alavash; University of Luebeck |
| Jonas Obleser; University of Luebeck |
| PS-1B.42: Extreme Translation Tolerance in Humans and Machines |
| Ryan Blything; University of Bristol |
| Ivan Vankov; New Bulgarian University |
| Casimir Ludwig; University of Bristol |
| Jeffrey Bowers; University of Bristol |
| PS-1B.43: Dynamic Integration of Forward Planning and Heuristic Preferences in a Sequential Two-Goal Task |
| Florian Ott; Technische Universität Dresden |
| Dimitrije Markovic; Technische Universität Dresden |
| Alexander Strobel; Technische Universität Dresden |
| Stefan Kiebel; Technische Universität Dresden |
| PS-1B.44: A Neuro-Computational Characterization of Theory of Mind Processes during Cooperative Interaction |
| Tessa Rusch; University Hamburg |
| Prashant Doshi; University of Georgia |
| Martin Hebart; National Institute of Mental Health |
| Saurabh Kumar; University Hamburg |
| Michael Spezio; Scripps College |
| Jan Gläscher; University Hamburg |
| PS-1B.45: Electroencephalographic Correlates of Temporal Bayesian Belief Updating and Surprise |
| Antonino Visalli; University of Padova |
| Mariagrazia Capizzi; University of Padova |
| Ettore Ambrosini; University of Padova |
| Bruno Kopp; Hannover Medical School |
| Antonino Vallesi; University of Padova |
| PS-1B.46: Experimental evidence on computational mechanisms of concurrent temporal channels for auditory processing |
| Xiangbin Teng; Max Planck Institute for Empirical Aesthetics |
| David Poeppel; Max Planck Institute for Empirical Aesthetics |
| PS-1B.47: Probabilistic Successor Representations with Kalman Temporal Differences |
| Jesse Geerts; University College London |
| Kimberly Stachenfeld; DeepMind |
| Neil Burgess; University College London |
| PS-1B.48: Effects of Sensory Precision on Behavioral and Neuroimaging Perceptual Biases in Duration Estimation |
| Reny Baykova; University of Sussex |
| Warrick Roseboom; University of Sussex |
| PS-1B.49: Adding biological constraints to CNNs makes image classification more human-like and robust |
| Gaurav Malhotra; University of Bristol |
| Benjamin Evans; University of Bristol |
| Jeffrey Bowers; University of Bristol |
| PS-1B.50: Automated Machine Learning in Brain Predictive Modelling: A data-driven approach to Predict Brain Age from Cortical Anatomical Measures |
| Jessica Dafflon; King's College London |
| James H. Cole; King's College London |
| Federico Turkheimer; King's College London |
| Robert Leech; King's College London |
| Mathew A. Harris; University of Edinburgh |
| Simon R. Cox; University of Edinburgh |
| Heather C. Whalley; University of Edinburgh |
| Andrew M. McIntosh; University of Edinburgh |
| Peter J. Hellyer; University of Edinburgh |
| PS-1B.51: Optimizing a recurrent neural architecture for contour detection produces a tilt illusion |
| Drew Linsley; Brown University |
| Junkyung Kim; Brown University |
| Thomas Serre; Brown University |
| PS-1B.52: Models of allocentric coding for reaching in naturalistic visual scenes |
| Parisa Abedi Khoozani; Queen's University |
| Paul R. Schrater; University of Minnesota |
| Dominik Endres; Philipps-University Marburg |
| Katja Fiehler; Justus-Liebig Univ. Giessen |
| Gunnar Blohm; Queen's University |
| PS-1B.53: Test-retest reliability of canonical reinforcement learning models |
| Laura Weidinger; Max-Planck-Institute for Human Development |
| Andrea Gradassi; University of Amsterdam |
| Lucas Molleman; University of Amsterdam |
| Wouter van den Bos; University of Amsterdam |
| PS-1B.54: Geometry of Shared Representations |
| Gregorty Henselman-Petrusek; Princeton Universeity |
| Simon Segert; Princeton Universeity |
| Bryn Keller; Intel Labs |
| Mariano Tepper; Intel Labs |
| Jon Cohen; Princeton Universeity |
| PS-1B.55: Explaining Scene-selective Visual Areas Using Task-specific Deep Neural Network Representations |
| Kshitij Dwivedi; Singapore University of Technology and Design |
| Michael Bonner; Johns Hopkins University, Baltimore, MD |
| Gemma Roig; Singapore University of Technology and Design |
| PS-1B.56: Hierarchical network analysis of behavior and neuronal population activity |
| Kevin Luxem; German Center for Neurodegenerative Diseases |
| Falko Fuhrmann; German Center for Neurodegenerative Diseases |
| Stefan Remy; German Center for Neurodegenerative Diseases |
| Pavol Bauer; German Center for Neurodegenerative Diseases |
| PS-1B.57: Measuring prefrontal representational geometry: fMRI adaptation vs pattern analysis |
| Apoorva Bhandari; Brown University |
| Marcus Benna; Columbia University |
| Mattia Rigotti; IBM Research AI |
| Stefano Fusi; Columbia University |
| David Badre; Brown University |
| PS-1B.58: Modeling attention impairments in major depression |
| Arielle Keller; Stanford University |
| Shi Qiu; Stanford University |
| Jason Li; Stanford University |
| Leanne Williams; Stanford University |
| PS-1B.59: Testing burst coding models of working memory with spike trains from primate prefrontal cortex |
| Daming Li; Yale University |
| Christos Contantidinis; Wake Forest University |
| John Murray; Yale University |
| PS-1B.60: Temporal Dynamics of Meaning |
| Ariel Goldstein; Princeton University and Google Research |
| Aren Jansen; Google Research |
| Malcom Slaney; Google Research |
| Amy Price; Princeton University |
| Zaid Kokaja Zada; Princeton University |
| Gina Ghoe; Princeton University and NYU School of Medicine |
| Bobbi Aubrey; Princeton University and NYU School of Medicine |
| Aditi Rao; Princeton University and NYU School of Medicine |
| Lora Fanda; Princeton University and NYU School of Medicine |
| Kenneth Norman; Princeton University |
| Adeen Flinker; NYU School of Medicine |
| Orrin Devinsky; NYU School of Medicine |
| Michael Brenner; Google Research |
| Uri Hasson; Princeton University and Google Research |
| PS-1B.61: Speed and accuracy in learning: A combined Q-learning diffusion decision model analysis |
| Steven Miletic; University of Amsterdam |
| Russell Boag; University of Amsterdam |
| Varvara Mathiopoulou; University of Amsterdam |
| Birte Forstmann; University of Amsterdam |
| PS-1B.62: Novel Object Scale Differences in Deep Convolutional Neural Networks versus Human Object Recognition Areas |
| Astrid Zeman; KULeuven |
| Chayenne Van Meel; KULeuven |
| Hans Op de Beeck; KULeuven |
| PS-1B.63: Narratives as Networks: Predicting Memory from the Structure of Naturalistic Events |
| Hongmi Lee; Johns Hopkins University |
| Janice Chen; Johns Hopkins University |
| PS-1B.64: An Inference Network Model for Goal-directed Attentional Selection |
| Yang Chu; Imperial College London |
| Dan F. M. Goodman; Imperial College London |
| PS-1B.65: The cingulo-opercular network controls stimulus-response transformations with increasing efficiency over the course of learning |
| Janik Fechtelpeter; Technische Universität Dresden |
| Hannes Ruge; Technische Universität Dresden |
| Holger Mohr; Technische Universität Dresden |
| PS-1B.66: Representations of Sensory Signals and Abstract Categories in Brain Networks |
| Dimitris Pinotsis; City—University of London & MIT |
| Markus Siegel; University of Tuebingen |
| Earl Miller; MIT |
| PS-1B.67: Disambiguating planning from heuristics in rodent spatial navigation |
| Michael Pereira; Champalimaud Research |
| Christian K. Machens; Champalimaud Research |
| Rui M. Costa; Columbia University |
| Thomas Akam; University of Oxford |
| PS-1B.68: The Unreliable Influence of Noise Normalization on the Reliability of Neural Dissimilarity |
| J. Brendan Ritchie; KU Leuven |
| Haemy Lee Masson; KU Leuven |
| Stefania Bracci; KU Leuven |
| Hans Op de Beeck; KU Leuven |
| PS-1B.69: Spatial Attention introduces Behavioral Trade-off in a Large-Scale Spiking Neural Network |
| Lynn K. A. Sörensen; University of Amsterdam |
| Davide Zambrano; Centrum Wiskunde Informatica |
| Heleen A. Slagter; Vrije Universiteit Amsterdam |
| H. Steven Scholte; University of Amsterdam |
| Sander M. Bohté; Centrum Wiskunde Informatica |
| PS-1B.70: Bayesian inference for an exploration-exploitation model of human gaze control |
| Noa Malem-Shinitski; Potsdam University |
| Stefan Seelig; Potsdam University |
| Sebastian Reich; Potsdam University |
| Ralf Engbert; Potsdam University |
| PS-1B.71: Temporal Context Invariance Reveals Neural Processing Timescales in Human Auditory Cortex |
| Sam Norman-Haignere; Columbia University |
| Laura Long; Columbia University |
| Orrin Devinsky; NYU Langone Medical Center |
| Werner Doyle; NYU Langone Medical Center |
| Guy McKhann; Columbia University Medical Center |
| Catherine Schevon; Columbia University Medical Center |
| Adeen Flinker; NYU Langone Medical Center |
| Nima Mesgarani; Columbia University |
| PS-1B.72: A Functional Model of Neuronal Response Variability in Primary Visual Cortex |
| Dylan Festa; Albert Einstein College of Medicine |
| Amir Aschner; Albert Einstein College of Medicine |
| Adam Kohn; Albert Einstein College of Medicine |
| Ruben Coen-Cagli; Albert Einstein College of Medicine |
| PS-1B.73: Effects of value on early sensory activity and motor preparation during rapid sensorimotor decisions |
| L. Alexandra Martinez-Rodriguez; University College Dublin |
| Elaine A. Corbett; University College Dublin |
| Simon P. Kelly; University College Dublin |
| PS-1B.74: Time-Resolved Correspondences Between a Deep Feed-Forward Neural Network and Human Object Processing: EEG Measurements |
| Nathan Kong; Stanford University |
| Blair Kaneshiro; Stanford University |
| Anthony Norcia; Stanford University |
| PS-1B.75: Central Tendency as Consequence of Experimental Protocol |
| Stefan Glasauer; Brandenburg University of Technology Cottbus-Senftenberg |
| Zhuanghua Shi; Ludwig-Maximilians-Universität München |
| PS-1B.76: Noise correlations facilitate faster learning |
| Matthew Nassar; Brown University |
| PS-1B.77: Cognition as inference: a unifying account of some neural effects associated with mental imagery and attention |
| Ghislain St-Yves; Medical university of South Carolina |
| Thomas Naselaris; Medical university of South Carolina |
| PS-1B.78: Procrastination in Rational Agents |
| Peiyuan Zhang; New York University |
| Wei Ji Ma; New York University |